Yuta Matsui

Papers

Total Citations

H-Index

About

Yuta Matsui is a researcher in humanoid robotics and biomechatronics, with a focus on integrating biological signals into robotic control systems. His work bridges the gap between human physiology and machine movement, particularly in the development of more natural and adaptive locomotion for humanoid robots. His most-cited paper, "Shuffle Turn of Humanoid Robot Simulation Based on EMG Measurement" (2013), explores how electromyography (EMG) data from human muscles can inform robotic turning motions, enhancing stability and fluidity. This study, with 4 citations, demonstrates his early contributions to bio-inspired robotic design, where human movement patterns are directly translated into robotic algorithms. Matsui’s research is notable for its interdisciplinary approach, combining signal processing, simulation, and mechanical engineering to improve human-robot interaction. While his citation count reflects a niche but impactful area of study, his work contributes to the broader goal of creating robots that move with human-like efficiency, with potential applications in assistive technology and rehabilitation.